Terry Blessing is an independent consultant and seasoned information developer with three decades of experience turning complex enterprise software into elegant, usable documentation and developer-facing content. With an MSS in Software Design & Development and a post-master’s certificate in Big Data, he blends object-oriented analysis with deep domain knowledge across companies like Starburst/Trino, Confluent, DataStax, Adobe, Oracle, and Dolby. He has strong technical chops in DITA XML, CCMS administration, and docs-as-code workflows—converting large manuals, mentoring authors, and driving content migrations for FDA-regulated and high-scale data platforms. An active open-source contributor, Terry has significantly improved Trino/Starburst documentation (hundreds of PRs) and advocates for developer and DevOps audiences through clear, test-backed examples. He’s equally comfortable in agile teams and quieting chaos during critical releases, and—less obvious—brings a rare blend of formal software training and decades of hands-on content architecture that helps products delight users and reduce support load.
9 years of coding experience
3 years of employment as a software developer
East High School
B.A., Agribusiness, B.A., Agribusiness at University of Minnesota
Java programming, Java programming at University of Minnesota Information Technology Continuing Professional Education
Certificate in Advanced Study (Post-Masters), Big Data, Certificate in Advanced Study (Post-Masters), Big Data at University of St. Thomas
Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
Role in this project:
Technical Writer
Contributions:106 reviews, 8 commits, 20 PRs in 5 months
Contributions summary:Terry's contributions primarily focused on improving and expanding the documentation within the Trino project. They made numerous edits to documentation files, including updating type mapping information for various connectors (ClickHouse, MariaDB, Oracle, Thrift, BigQuery, Cassandra, Druid, Elasticsearch, Pinot, Kafka). They also added anchors, corrected formatting, and addressed style issues to enhance the clarity and accuracy of the documentation. Furthermore, the user documented requirements for Protobuf usage within the Kafka connector.
Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
Contributions:149 pushes, 30 branches in 1 year
bigdatabig-datatrinodatabasehadoop
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